基于数据挖掘的高校学生网络行为分析与管理研究

随着移动互联网和高校校园网的日趋完善,大学生已成为网络社会最主要的社会群体之一。网络已成为大学生校园生活和日常生活不可缺少的重要工具之一,对高校学生网络行为进行分析、管理和引导具有重要的作用和深远的意义。文章重点对网络访问数据预处理、网络访问数据清洗、网页分类等核心环节进行了阐述,并构建了网络行为分析与管理系统,为高校网络部门优化校园网络服务、保障网络安全提供了参考。

Research on network behavior analysis and management in university campus based on data mining

With the development of mobile internet and campus network, the college students have become one of the most important social groups in the network society. Network has become an indispensable part of college students’ campus life and daily life. It has an important role and profound significance to analyze, manage and guide college students’ network behavior. This paper focuses on the core links of network access data preprocessing, network access data cleaning, web page classification and so on, and constructs a network behavior analysis and management system, which provides a reference for the network department of colleges and universities to optimize campus network services and ensure network security.